SimpleITK  1.2.4
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itk::simple::WienerDeconvolutionImageFilter Class Reference

The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum. More...

#include <sitkWienerDeconvolutionImageFilter.h>

+ Inheritance diagram for itk::simple::WienerDeconvolutionImageFilter:
+ Collaboration diagram for itk::simple::WienerDeconvolutionImageFilter:

Public Types

enum  BoundaryConditionType {
enum  OutputRegionModeType {
typedef BasicPixelIDTypeList PixelIDTypeList
typedef WienerDeconvolutionImageFilter Self
- Public Types inherited from itk::simple::ImageFilter< 2 >
typedef ImageFilter Self
- Public Types inherited from itk::simple::ProcessObject
typedef ProcessObject Self

Public Member Functions

Image Execute (const Image &image1, const Image &image2)
Image Execute (const Image &image1, const Image &image2, double noiseVariance, bool normalize, WienerDeconvolutionImageFilter::BoundaryConditionType boundaryCondition, WienerDeconvolutionImageFilter::OutputRegionModeType outputRegionMode)
BoundaryConditionType GetBoundaryCondition () const
std::string GetName () const
double GetNoiseVariance () const
bool GetNormalize () const
OutputRegionModeType GetOutputRegionMode () const
SelfNormalizeOff ()
SelfNormalizeOn ()
SelfSetBoundaryCondition (BoundaryConditionType BoundaryCondition)
SelfSetNoiseVariance (double NoiseVariance)
SelfSetNormalize (bool Normalize)
SelfSetOutputRegionMode (OutputRegionModeType OutputRegionMode)
std::string ToString () const
 WienerDeconvolutionImageFilter ()
virtual ~WienerDeconvolutionImageFilter ()
- Public Member Functions inherited from itk::simple::ImageFilter< 2 >
 ImageFilter ()
virtual ~ImageFilter ()=0
- Public Member Functions inherited from itk::simple::ProcessObject
virtual void Abort ()
virtual int AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd)
 Add a Command Object to observer the event. More...
virtual float GetProgress () const
 An Active Measurement of the progress of execution. More...
virtual bool HasCommand (itk::simple::EventEnum event) const
 Query of this object has any registered commands for event. More...
 ProcessObject ()
virtual void RemoveAllCommands ()
 Remove all registered commands. More...
virtual ~ProcessObject ()
virtual void DebugOn ()
virtual void DebugOff ()
virtual bool GetDebug () const
virtual void SetDebug (bool debugFlag)
virtual void SetNumberOfThreads (unsigned int n)
virtual unsigned int GetNumberOfThreads () const

Private Types

typedef Image(Self::* MemberFunctionType) (const Image &image1, const Image &image2)

Private Member Functions

template<class TImageType >
Image ExecuteInternal (const Image &image1, const Image &image2)

Private Attributes

BoundaryConditionType m_BoundaryCondition
nsstd::auto_ptr< detail::MemberFunctionFactory< MemberFunctionType > > m_MemberFactory
double m_NoiseVariance
bool m_Normalize
OutputRegionModeType m_OutputRegionMode


struct detail::MemberFunctionAddressor< MemberFunctionType >

Additional Inherited Members

- Static Public Member Functions inherited from itk::simple::ProcessObject
static bool GetGlobalDefaultDebug ()
static void GlobalDefaultDebugOff ()
static void GlobalDefaultDebugOn ()
static void SetGlobalDefaultDebug (bool debugFlag)
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()
static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void SetGlobalDefaultNumberOfThreads (unsigned int n)
static unsigned int GetGlobalDefaultNumberOfThreads ()
static double GetGlobalDefaultCoordinateTolerance ()
 Access the global tolerance to determine congruent spaces. More...
static void SetGlobalDefaultCoordinateTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
static double GetGlobalDefaultDirectionTolerance ()
 Access the global tolerance to determine congruent spaces. More...
static void SetGlobalDefaultDirectionTolerance (double)
 Access the global tolerance to determine congruent spaces. More...
- Protected Member Functions inherited from itk::simple::ProcessObject
virtual unsigned long AddITKObserver (const itk::EventObject &, itk::Command *)
virtual itk::ProcessObjectGetActiveProcess ()
virtual void OnActiveProcessDelete ()
virtual void onCommandDelete (const itk::simple::Command *cmd) SITK_NOEXCEPT
virtual void PreUpdate (itk::ProcessObject *p)
virtual void RemoveITKObserver (EventCommand &e)
- Protected Member Functions inherited from itk::simple::NonCopyable
 NonCopyable ()
- Static Protected Member Functions inherited from itk::simple::ImageFilter< 2 >
static void FixNonZeroIndex (TImageType *img)
- Static Protected Member Functions inherited from itk::simple::ProcessObject
template<class TImageType >
static TImageType::ConstPointer CastImageToITK (const Image &img)
template<class TImageType >
static Image CastITKToImage (TImageType *img)
template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector>
static Image CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img)
static const itk::EventObjectGetITKEventObject (EventEnum e)
template<typename T >
static std::ostream & ToStringHelper (std::ostream &os, const T &v)
static std::ostream & ToStringHelper (std::ostream &os, const char &v)
static std::ostream & ToStringHelper (std::ostream &os, const signed char &v)
static std::ostream & ToStringHelper (std::ostream &os, const unsigned char &v)

Detailed Description

The Wiener deconvolution image filter is designed to restore an image convolved with a blurring kernel while keeping noise enhancement to a minimum.

The Wiener filter aims to minimize noise enhancement induced by frequencies with low signal-to-noise ratio. The Wiener filter kernel is defined in the frequency domain as $W(\omega) = H^*(\omega) / (|H(\omega)|^2 + (1 / SNR(\omega)))$ where $H(\omega)$ is the Fourier transform of the blurring kernel with which the original image was convolved and the signal-to-noise ratio $SNR(\omega)$ . $SNR(\omega)$ is defined by $P_f(\omega) / P_n(\omega)$ where $P_f(\omega)$ is the power spectral density of the uncorrupted signal and $P_n(\omega)$ is the power spectral density of the noise. When applied to the input blurred image, this filter produces an estimate $\hat{f}(x)$ of the true underlying signal $f(x)$ that minimizes the expected error between $\hat{f}(x)$ and $f(x)$ .

This filter requires two inputs, the image to be deconvolved and the blurring kernel. These two inputs can be set using the methods SetInput() and SetKernelImage() , respectively.

The power spectral densities of the signal and noise are typically unavailable for a given problem. In particular, $P_f(\omega)$ cannot be computed from $f(x)$ because this unknown signal is precisely the signal that this filter aims to recover. Nevertheless, it is common for the noise to have a power spectral density that is flat or decreasing significantly more slowly than the power spectral density of a typical image as the frequency $\omega$ increases. Hence, $P_n(\omega)$ can typically be approximated with a constant, and this filter makes this assumption (see the NoiseVariance member variable). $P_f(\omega)$ , on the other hand, will vary with input. This filter computes the power spectral density of the input blurred image, subtracts the power spectral density of the noise, and uses the result as the estimate of $P_f(\omega)$ .

For further information on the Wiener deconvolution filter, please see "Digital Signal Processing" by Kenneth R. Castleman, Prentice Hall, 1995

Gaetan Lehmann, Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France
Chris Mullins, The University of North Carolina at Chapel Hill
Cory Quammen, The University of North Carolina at Chapel Hill
See also
itk::simple::WienerDeconvolution for the procedural interface
itk::WienerDeconvolutionImageFilter for the Doxygen on the original ITK class.

Definition at line 54 of file sitkWienerDeconvolutionImageFilter.h.

Member Typedef Documentation

typedef Image(Self::* itk::simple::WienerDeconvolutionImageFilter::MemberFunctionType) (const Image &image1, const Image &image2)

Setup for member function dispatching

Definition at line 131 of file sitkWienerDeconvolutionImageFilter.h.

Define the pixels types supported by this filter

Definition at line 66 of file sitkWienerDeconvolutionImageFilter.h.

Definition at line 56 of file sitkWienerDeconvolutionImageFilter.h.

Member Enumeration Documentation


Definition at line 94 of file sitkWienerDeconvolutionImageFilter.h.


Definition at line 104 of file sitkWienerDeconvolutionImageFilter.h.

Constructor & Destructor Documentation

virtual itk::simple::WienerDeconvolutionImageFilter::~WienerDeconvolutionImageFilter ( )


itk::simple::WienerDeconvolutionImageFilter::WienerDeconvolutionImageFilter ( )

Default Constructor that takes no arguments and initializes default parameters

Member Function Documentation

Image itk::simple::WienerDeconvolutionImageFilter::Execute ( const Image image1,
const Image image2 

Execute the filter on the input images

Image itk::simple::WienerDeconvolutionImageFilter::Execute ( const Image image1,
const Image image2,
double  noiseVariance,
bool  normalize,
WienerDeconvolutionImageFilter::BoundaryConditionType  boundaryCondition,
WienerDeconvolutionImageFilter::OutputRegionModeType  outputRegionMode 

Execute the filter on the input images with the given parameters

template<class TImageType >
Image itk::simple::WienerDeconvolutionImageFilter::ExecuteInternal ( const Image image1,
const Image image2 
BoundaryConditionType itk::simple::WienerDeconvolutionImageFilter::GetBoundaryCondition ( ) const

Definition at line 102 of file sitkWienerDeconvolutionImageFilter.h.

std::string itk::simple::WienerDeconvolutionImageFilter::GetName ( ) const

Name of this class

Implements itk::simple::ProcessObject.

Definition at line 114 of file sitkWienerDeconvolutionImageFilter.h.

double itk::simple::WienerDeconvolutionImageFilter::GetNoiseVariance ( ) const

Set/get the variance of the zero-mean Gaussian white noise assumed to be added to the input.

Definition at line 78 of file sitkWienerDeconvolutionImageFilter.h.

bool itk::simple::WienerDeconvolutionImageFilter::GetNormalize ( ) const

Definition at line 92 of file sitkWienerDeconvolutionImageFilter.h.

OutputRegionModeType itk::simple::WienerDeconvolutionImageFilter::GetOutputRegionMode ( ) const

Definition at line 112 of file sitkWienerDeconvolutionImageFilter.h.

Self& itk::simple::WienerDeconvolutionImageFilter::NormalizeOff ( )

Definition at line 88 of file sitkWienerDeconvolutionImageFilter.h.

Self& itk::simple::WienerDeconvolutionImageFilter::NormalizeOn ( )

Set the value of Normalize to true or false respectfully.

Definition at line 87 of file sitkWienerDeconvolutionImageFilter.h.

Self& itk::simple::WienerDeconvolutionImageFilter::SetBoundaryCondition ( BoundaryConditionType  BoundaryCondition)

Definition at line 98 of file sitkWienerDeconvolutionImageFilter.h.

Self& itk::simple::WienerDeconvolutionImageFilter::SetNoiseVariance ( double  NoiseVariance)

Set/get the variance of the zero-mean Gaussian white noise assumed to be added to the input.

Definition at line 73 of file sitkWienerDeconvolutionImageFilter.h.

Self& itk::simple::WienerDeconvolutionImageFilter::SetNormalize ( bool  Normalize)

Normalize the output image by the sum of the kernel components

Definition at line 84 of file sitkWienerDeconvolutionImageFilter.h.

References itk::simple::Normalize().

Self& itk::simple::WienerDeconvolutionImageFilter::SetOutputRegionMode ( OutputRegionModeType  OutputRegionMode)

Definition at line 108 of file sitkWienerDeconvolutionImageFilter.h.

std::string itk::simple::WienerDeconvolutionImageFilter::ToString ( ) const

Print ourselves out

Reimplemented from itk::simple::ProcessObject.

Friends And Related Function Documentation

Definition at line 135 of file sitkWienerDeconvolutionImageFilter.h.

Member Data Documentation

BoundaryConditionType itk::simple::WienerDeconvolutionImageFilter::m_BoundaryCondition

Definition at line 143 of file sitkWienerDeconvolutionImageFilter.h.

nsstd::auto_ptr<detail::MemberFunctionFactory<MemberFunctionType> > itk::simple::WienerDeconvolutionImageFilter::m_MemberFactory

Definition at line 137 of file sitkWienerDeconvolutionImageFilter.h.

double itk::simple::WienerDeconvolutionImageFilter::m_NoiseVariance

Definition at line 140 of file sitkWienerDeconvolutionImageFilter.h.

bool itk::simple::WienerDeconvolutionImageFilter::m_Normalize

Definition at line 142 of file sitkWienerDeconvolutionImageFilter.h.

OutputRegionModeType itk::simple::WienerDeconvolutionImageFilter::m_OutputRegionMode

Definition at line 144 of file sitkWienerDeconvolutionImageFilter.h.

The documentation for this class was generated from the following file: